A modal projection-based reduction method for transient dynamic responses of viscoelastic systems with multiple damping models. (1st January 2018)

• Record Type: Journal Article
• Authors: Ding, Zhe; Li, Li; Kong, Jianyi; Qin, Li
• Is Part Of: Computers & structures. Volume 194(2017)
• Page Start: 60
• Page End: 73
• Publication Date: 2018-01-01
• Subjects: Transient response -- Multiple viscoelastic damping -- Precise time integration -- Reduction methods -- Modal projection; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2017.09.004
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: A modal projection-based reduction method for viscoelastic damping system is proposed. The method is applicable to systems with multiple damping models. Two robust projection bases are adopted to reduce the order of original system. The stability, accuracy and complexity of the method are investigated. Two numerical examples are given to show the efficiency of the method. Abstract: Large and complex engineering systems are usually assembled by subcomponents with different energy dissipation levels. Therefore, these systems often contain multiple damping models, which may lead to great difficulties in analyzing efficiently. In this paper, an efficient modal projection-based reduction method, which accounts for transient dynamic responses of structural system with multiple damping models, is proposed in the framework of a modified precise integration method. Two robust modal reduction bases, namely multi-model method (MM) and modal strain energy by first-order correction method (MSEC), are introduced to reduce the order of the original system. Based on the reduced system and a general damping model (GDM), a reduced state-space formalism for the structural system with multiple damping models is developed. Finally, the transient dynamic responses are derived using a modified precise integration method on the reduced stage. The numerical stability, accuracy and complexity are discussed. Two numerical examples are illustrated to assess the performances of the computational accuracy and efficiency. The results indicate that the proposed method is more efficient than other methods and most suitable for large-scale problems with rather good accuracy.